2. Your logo
here
What is Deep Learning?
▪ Subset of Machine Learning
▪ Great at pattern recognition
▪ “Find the needle in the haystack”
▪ Computationally intensive
▪ Benefits from lots of compute
22/9/2016
3. Your logo
here
Use Cases
▪ AdTech - It permeates Google and Facebook
▪ Recco engines - Netflix
▪ Anomaly Detection (Banks,Telecoms)
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4. Your logo
here
Deep Learning on Power
▪ Higher throughput for big data systems
▪ Great for ETL workloads
▪ Massive amounts of cores means even CPU
workloads run faster allowing for faster training
▪ Deep Learning scales with the amount of data you
give it (more data = better)
▪ OpenPOWER is optimized for bigger workloads
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6. Your logo
here
Conclusion
▪ Production Workloads running on OpenPOWER
using CUDA + Spark
▪ Openstack summit (OpenPOWER-enabled network
monitoring solution)
https://www.openstack.org/summit
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